Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add digital-stoic-org/agent-skills --skill create-contextgit clone --depth 1 https://github.com/digital-stoic-org/agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/digital-stoic-org/agent-skills/create-context)<a href="https://agentmods.dev/skills/digital-stoic-org/agent-skills/create-context"><img src="https://agentmods.dev/badge/skills/digital-stoic-org/agent-skills/create-context/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/digital-stoic-org/agent-skills/create-context"><img src="https://agentmods.dev/badge/skills/digital-stoic-org/agent-skills/create-context.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00055 | $0.00725 |
| Opus 5.5 | $0.00022 | $0.00290 |
| Sonnet 5.5 | $0.00011 | $0.00145 |
| Haiku 4.5 | $0.00006 | $0.00072 |
Grade A, and why
create-context scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Context
Bootstrap project context from .in/ folder → .ctx/ snapshot + baseline + RISEN INPUT table.
⚠️ AskUserQuestion Guard
CRITICAL: After EVERY AskUserQuestion call, check if answers are empty/blank. Known Claude Code bug: outside Plan Mode, AskUserQuestion silently returns empty answers without showing UI.
If answers are empty: DO NOT proceed with assumptions. Instead:
- Output: "⚠️ Questions didn't display (known Claude Code bug outside Plan Mode)."
- Present the options as a numbered text list and ask user to reply with their choice number.
- WAIT for user reply before continuing.
Folder Architecture
.in/: Immutable bootstrap (user dumps raw docs, never modified by commands).ctx/: Actionable snapshot (generated: manifest + summaries + copied files)
Steps
1. Prerequisites
[ -d .in/ ] || error "No .in/ folder found. Create it and add source files first."
[ -d .ctx/ ] && [ "$1" != "--force" ] && error ".ctx/ exists. Use --force to recreate."
Skip security-sensitive files: .env*, *credentials*, *secrets*, *token*, *.key, *.pem, *.crt
2. Scan & Prioritize
- Glob:
.in/**/*.{md,txt,csv,yaml,json} - AskUserQuestion per file: HIGH / MEDIUM / LOW + brief description
3. Create .ctx/ and Generate Manifest
Write .ctx/manifest.yaml — see reference.md for schema.
4. Context Sizing & Copy
Token estimation: tokens ≈ words / 0.75 (via wc -w)
| Priority | ≤ threshold | > threshold, ≤25K | > 25K |
|---|---|---|---|
| HIGH | ≤1500 → inline | summarize directly | summarize via sub-agent |
| MEDIUM | ≤2500 → inline | summarize directly | summarize via sub-agent |
| LOW | reference only | — | — |
Copy HIGH/MEDIUM files to .ctx/, preserving subdirectory structure.
5. Summarize (if needed)
- Direct: Read + generate ~500 token summary →
.ctx/{nn}-{basename}-summary-llm.md - Sub-agent: Task(
summarize-for-context) for files >25K tokens
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 75 lines · 55 tokens per session scan A 17db00b7f8c1
create-context is a skill published in the GitHub repository digital-stoic-org/agent-skills (20 stars, last pushed 12d ago), licensed MIT. It adds 55 tokens to every session and 725 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.
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